Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Post processing of iris images to increase image quality

a post processing and image technology, applied in the field of human iris image post processing, can solve the problems of insufficient biometric identification, achieve the effect of increasing the resolution of captured iris images, reducing contrast or noise characteristics, and improving image quality

Active Publication Date: 2011-01-11
TASCENT INC
View PDF31 Cites 77 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

"The present invention relates to iris imaging systems that use post-processing to improve the quality of captured iris images. The system captures lower resolution images and an image post processing module increases the resolution of the images. The system uses light illuminates the subjects' eyes and reflection from the eyes to steer the camera to the eyes and capture images of the iris. The post processing module estimates the point spread function and uses it to reverse the blurring effect. The system can also use multiple images of an iris to improve the resolution of the final post-processed image. The image capture subsystem includes a camera, light source, and fine tracking system that can acquire iris images even without the subject's active cooperation. The acquisition subsystem identifies the approximate location of subjects within a capture volume and the image capture subsystem slews from one subject to the next to acquire images of their irises. The invention provides a solution for improving the quality of captured iris images for biometric identification."

Problems solved by technology

The image capture subsystem captures images of irises, possibly with resolution that is not sufficient for biometric identification.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Post processing of iris images to increase image quality
  • Post processing of iris images to increase image quality
  • Post processing of iris images to increase image quality

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

System Overview

[0027]FIG. 1 is an illustration of an iris imaging system according to the present invention. The iris imaging system includes an image capture subsystem 200, optionally an acquisition subsystem 100, and an image post processing module 260. The system is designed to capture iris images of many eyes 134 over a large capture volume 50, typically without the active cooperation of the subjects. In one application, the subjects are passing through a portal 60 (such as a doorway or metal detector), the capture volume 50 is the entranceway leading up to the portal, and the iris imaging system captures iris images as the subjects pass through the capture volume. In many applications, the capture volume can be defined based on a portal or other bottleneck for the flow of people. Examples include corridors, turnstiles, toll booths, elevator doors, escalators and parking garage entrances. Other examples include checkout lines or other queues, crosswalks, sidewalks and roadways.

[...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A rapid iris acquisition, tracking, and imaging system can be used at longer standoff distances and over larger capture volumes, without the active cooperation of subjects. Light illuminates the subjects' eyes and a high resolution camera captures images of the irises. The images of the irises are processed by a post processing module to improve their quality. In one approach, the point spread function of the image capture subsystem is estimated using glint reflections from the eye, and the estimated point spread function is used in deconvolution to increase the resolution of the iris images. The post processed iris images have sufficient resolution to be used for biometric identification.

Description

CROSS-REFERENCE TO RELATED APPLICATION(S)[0001]This application claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent Application Ser. No. 60 / 803,006, filed May 23, 2006, which is a continuation-in-part of U.S. patent application Ser. No. 11 / 297,578, filed on Dec. 7, 2005, entitled “Iris Imaging Using Reflection From The Eye,” which claims priority under 35 U.S.C. §119(e) to both U.S. Provisional Patent Application Ser. No. 60 / 654,638, “Biometric Identification and Iris Imaging Using Retinal Retro-Reflection,” filed Feb. 17, 2005, and U.S. Provisional Patent Application Ser. No. 60 / 634,331, “Adaptive Optics (AO) Imaging Applied to Biometric Identification Using Iris Imaging,” filed Dec. 7, 2004. The subject matter of all of the foregoing is incorporated herein by reference in their entirety.BACKGROUND OF THE INVENTION[0002]1. Field of the Invention[0003]This invention relates to imaging of the human iris, as may be used for biometric identification. More specifically, ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(United States)
IPC IPC(8): G06K9/46G01C3/12A61B3/10
CPCA61B3/1216G06K9/00604G06K9/0061G02B27/0093G06V40/193G06V40/19
Inventor NORTHCOTT, MALCOLM J.GRAVES, J. ELON
Owner TASCENT INC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products